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TITLE PAGE - acumen - The University of Alabama

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the two end-members. This conservative approach to calculating contribution <strong>of</strong> novel carbon to<br />

consumer biomass has been used successfully in similar additions <strong>of</strong> C4-plant carbon (e.g.,<br />

Wilcox et al. 2005).<br />

Data analyses<br />

Changes in both standing crop organic matter and organismal biomass before and after<br />

the litter amendment were assessed using an unreplicated BACI analysis (Stewart-Oaten et al.<br />

1986; Schroeter et al. 1993). For each parameter <strong>of</strong> interest, the mean monthly value from the<br />

control reach was subtracted from the corresponding monthly manipulation reach value (e.g.<br />

monthly effect size). <strong>The</strong>n, either a Student’s paired t-test or a Wilcoxon signed-rank test (for<br />

non-normally distributed data) was used to compare the mean monthly effect sizes before and<br />

after the litter amendment.<br />

Three multivariate techniques were used to compare macroinvertebrate community<br />

structure from the core samples among study reaches before and after the litter addition: analysis<br />

<strong>of</strong> similarities (ANOSIM), non-metric multidimensional scaling (nMDS) ordination and<br />

similarity percentages (SIMPER). Similarity matrices were first computed using the Bray-Curtis<br />

coefficient on untransformed biomass data. <strong>The</strong> original data set (n = 400) was reduced by<br />

averaging samples within each month and study reach (n = 40). First, we used nMDS to generate<br />

graphical summaries <strong>of</strong> the relationships in community structure between reaches. Bubble plots<br />

were incorporated into the nMDS ordinations to illustrate trends in community composition and<br />

taxon biomass between reaches. Second, we performed one-way ANOSIMs to test for an effect<br />

<strong>of</strong> reach identity on community structure. Finally, we used the SIMPER routine to identify those<br />

taxa that contributed disproportionately to the overall dissimilarity in community structure<br />

46

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